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# Java Full Stack Developers

- **Company:** SVATS Inc
- **Location:** New York, TX, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), JavaScript (Programming Language), Amazon Web Services, Automation of Tests, Cloud Engineering, Python (Programming Language), Load Testing, Spinnaker, TypeScript, Data Processing, ReactJS, Retrieval-Augmented Generation, Large Language Models, Multi-Agent Systems, Spring-boot, Blazemeter, Kubernetes, Front End Software Development, Restful APIs, Splunk, Dynatrace, Serverless Computing, Docker, Jenkins, Microservices
- **Published:** October 12, 2026
- **Apply:** https://www.dice.com/job-detail/9b67810a-35ca-451d-8c5f-90951b993587

## About the Role

Key Requirements:

 * Experience: 8+ years of hands-on Java Full Stack development experience
 * Strong technical expertise across Java, Spring Boot, Microservices, REST APIs, and modern front-end technologies
 * Candidates must be thoroughly vetted and technically screened before submission
 * Strong communication skills and ability to work in a client-facing environment

## Description

* Deliver production-grade solutions by integrating agentic AI, LLMs/SLMs, MCP, RAG, agent orchestration frameworks, and automation to elevate how clients experience our products.
 * Build end-to-end capabilities across a cloud-native stack- React + TypeScript/JavaScript on the front end and Java/Spring Boot microservices on the back end.
 * Establish strong engineering practice through CI/CD pipelines (e.g., Jenkins, Spinnaker), automated testing and load testing (e.g., Blazemeter), and production observability/monitoring (e.g., Splunk, Dynatrace).
 * Design, deploy, and operate scalable, event-driven micros-services on AWS using Docker, Kubernetes, serverless compute, and messaging patterns.
 * Partner with product, design, data, architecture, and risk/control stakeholders to deliver secure, stable, and scalable AI solutions that solve real business problems
 * Nice to have: Python experience for LLM engineering and data processing (e.g., building small services, automation, and evaluation harnesses).